Raf Van de Plas
- Computational Mathematics top 2%
- Spectroscopy top 0.5%
- Mass Spectrometry Techniques and Applications 31
- Advanced Proteomics Techniques and Applications 9
- Analytical Chemistry and Chromatography 7
- Biophysics top 1%
- Spectroscopy Techniques in Biomedical and Chemical Research 8
- Analytical Chemistry top 2%
- Molecular Biology top 10%
- Metabolomics and Mass Spectrometry Studies 25
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- Reproductive System and Pregnancy 4
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- Endometriosis Research and Treatment 4
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- Ion-surface interactions and analysis 3
- Co-authors
- Richard M. CaprioliJeffrey M. SpragginsNico VerbeeckBart De MoorEtienne WaelkensJohan A. K. SuykensJunhai YangLukasz G. Migas
- Partner nations
- United StatesNetherlandsBelgium
In The Last Decade
Raf Van de Plas
45 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 158
- Computational Mathematics 60
- Spectroscopy 980
- Biophysics 218
- Analytical Chemistry 175
- Molecular Biology 1.2k
Countries citing papers authored by Raf Van de Plas
This map shows the geographic impact of Raf Van de Plas's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Raf Van de Plas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raf Van de Plas more than expected).
Fields of papers citing papers by Raf Van de Plas
This network shows the impact of papers produced by Raf Van de Plas. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Raf Van de Plas. The network helps show where Raf Van de Plas may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Raf Van de Plas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 3 | |
| 4 | 2024 | 5 | |
| 5 | 2022 | 21 | |
| 6 | 2022 | 11 | |
| 7 | 2021 | 18 | |
| 8 | 2020 | 27 | |
| 9 | 2020 | 18 | |
| 10 | 2018 | 57 | |
| 11 | 2018 | 49 | |
| 12 | 2017 | 43 | |
| 13 | 2016 | 18 | |
| 14 | 2015 | 220 | |
| 15 | 2012 | 32 | |
| 16 | 2012 | 54 | |
| 17 | 2010 | 242 | |
| 18 | 2010 | 30 | |
| 19 | 2007 | 15 | |
| 20 | Spatial Querying of Imaging Mass Spectrometry Data: A Nonnegative Least Squares Approach | 2007 | 9 |
About Raf Van de Plas
Raf Van de Plas is a scholar working on Spectroscopy, Computational Mathematics and Biophysics, having authored 48 papers that have together received 2.3k indexed citations. Recurring topics across this work include Mass Spectrometry Techniques and Applications (31 papers), Metabolomics and Mass Spectrometry Studies (25 papers), Advanced Proteomics Techniques and Applications (9 papers), Spectroscopy Techniques in Biomedical and Chemical Research (8 papers), Analytical Chemistry and Chromatography (7 papers), Reproductive System and Pregnancy (4 papers), Endometriosis Research and Treatment (4 papers) and Ion-surface interactions and analysis (3 papers). The work is most often cited by research in Computational Mathematics (60 citations), Spectroscopy (980 citations) and Biophysics (218 citations). Raf Van de Plas has collaborated with scholars based in United States, Netherlands and Belgium. Frequent co-authors include Richard M. Caprioli, Jeffrey M. Spraggins, Nico Verbeeck, Bart De Moor, Etienne Waelkens, Johan A. K. Suykens, Junhai Yang, Lukasz G. Migas, Fabian Ojeda and Elizabeth K. Neumann.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.